Arrow Link
Return to speakers
Grishma Jena

Grishma Jena

Data Scientist
California, United States

Grishma is a Data Scientist with the UX Research Operations team for IBM Software in San Francisco, USA. As the only Data Scientist in the org, she supports 100+ user researchers and designers and uses data to understand user struggles and opportunities to enhance user experiences. She earned her Masters in Computer Science at University of Pennsylvania. Her research interests are in Machine Learning and Natural Language Processing. She has spoken and facilitated workshops at multiple conferences including PyCon US (largest Python conference in the world). She has also taught Python at the San Francisco Public Library.

She enjoys introducing new technical concepts to people and help them use data and code to drive change. In her free time, she enjoys traveling, cooking, writing, and acting.

Upcoming Talks and Workshops

Why Data Science and UX Research should be Best Friends

Data Science is changing the world and UX research needs to leverage all the data to better understand business and user needs. This talk uses real-life examples to explain how Data Science can complement UX research and the kind of applications data scientists and UX researchers can collaboratively work on.

Past Talks and Workshops

Why Data Science and UX Research should be Best Friends

Data and Analytics

It is well acknowledged that design systems are crucial in ensuring rapid brand scalability, consistency, and cohesiveness. Thinking in systems and strategically is now a required skill. In this case study on Logitech's design system, we want to present our journey, including the difficulties we encountered, but mostly by reviewing it from a strategic and business perspective. We will not delve into the basics of a design system, but rather explain how to get buy-in from the leadership by turning our design system into a business need. Our decisions have all been mostly based on the results and findings obtained from our qualitative and quantitative data. We believe that nowadays design should be data-driven, and first and foremost our design system.

In this talk: